Surprising roles for phospholipid binding proteins revealed by high throughput geneticsThis paper is one of a selection of papers published in this special issue entitled “Second International Symposium on Recent Advances in Basic, Clinical, and Social Medicine” and has undergone the Journal's usual peer review process.
Bibliographic record
Abstract
Saccharomyces cerevisiae remains an ideal organism for studying the cell biological roles of lipids in vivo, as yeast has phospholipid metabolic pathways similar to mammalian cells, is easy and economical to manipulate, and is genetically tractable. The availability of isogenic strains containing specific genetic inactivation of each non-essential gene allowed for the development of a high-throughput method, called synthetic genetic analysis (SGA), to identify and describe precise pathways or functions associated with specific genes. This review describes the use of SGA to aid in elucidating the function of two lipid-binding proteins that regulate vesicular transport, Sec14 and Kes1. Sec14 was first identified as a phosphatidylcholine (PC) - phosphatidylinositol (PI) transfer protein required for viability, with reduced Sec14 function resulting in diminished vesicular transport out of the trans-Golgi. Although Sec14 is required for cell viability, inactivating the KES1 gene that encodes for a member of the oxysterol binding protein family in cells lacking Sec14 function results in restoration of vesicular transport and cell growth. SGA analysis identified a role for Kes1 and Sec14 in regulating the level and function of Golgi PI-4-phosphate (PI-4-P). SGA also determined that Sec14 not only regulates vesicular transport out of the trans-Golgi, but also transport from endosomes to the trans-Golgi. Comparing SGA screens in databases, coupled with genetic and cell biological analyses, further determined that the PI-4-P pool affected by Kes1 is generated by the PI 4-kinase Pik1. An important biological role for Sec14 and Kes1 revealed by SGA is coordinate regulation of the Pik1-generated Golgi PI-4-P pool that in turn is essential for vesicular transport into and out of the trans-Golgi.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".